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Retirement is a preparation for transitioning from one role to another and transitioning to a new stage of life. The deepening aging of the population encourages the policymakers to start the Bridge Employment plan when the society faces the unprecedented challenges of decreasing labor supply, heavier burdens of retirement and slow economic growth. The purpose of this study, the decision model for Bridge Employment has been developed by systematically reviewing the research literature.

A bibliometric analysis was conducted to cover publications on Bridge Employment for Return to Work published from 1994 to 2023, including a total of 1,936 publications collected from the Web of Science and Scopus. The patterns and trends in terms of sources of publications, intellectual structure and major topics were analyzed.

After carefully examining the results of the selected studies, three categories of individual (micro level), organizational (medium level) and contextual (macro level) factors were identified as effective factors on bridge employment and model development. Each of the mentioned factors, along with the legal, financial, managerial, educational-administrative and consulting requirements, form the basis for the development of the model and decision framework for Paul’s employment.

This model can be a basis as a framework for bridge recruitment planning so that organizations can once again use their skills–knowledge–expertise in different jobs and even training younger people.

Exploring diverse knowledge organization systems and metadata schemes in linked data, aiming to promote vocabulary usability and high-quality linked data creation within the LIS field.

We used content analysis to select 77 articles from 13 library and information science journals around our research theme. We identified four dimensions: vocabularies participation, reuse, functions, and naming variations in linked data.

The vocabulary comprises seven main categories and their corresponding 126 vocabularies, which participate in linked data in single, two, and multiple dimensions. These vocabularies are used in the eight LIS subfields. Reusing vocabularies has become integral to linked data publishing, with six categories and their corresponding 66 vocabularies being reused. Ontologies are the most engaged and widely reused category of vocabulary in linked data practice. The mutual support among the three major categories and seven subfunctions of vocabulary promotes the sustainable development of linked data. Under a combination of factors, the phenomenon of terminology name changes and cross-usage between “vocabulary” and “ontology.”

This study has limitations. Although 77 articles on the topic of vocabularies applied in linked data were analyzed and presented with quantitative statistics and visualizations, the exploration of the topic tends to be a practical activity, with limited presence in scholarly articles. Moreover, this study’s analysis of the practical applications of linked data is relatively limited, and the sample literature focused on articles published in English, which may have affected the diversity and inclusiveness of the research sample.

Practically, this study does not confine the application of content analysis solely to the traditional exploration of knowledge organization topics, development trends, or course content. Instead, it integrates the dual perspectives of linked data and vocabularies, employing content analysis to analyze and objectively reveal the application issues of vocabularies in linked data. The conclusions can provide specific guidelines for future applications of vocabularies in the LIS subfields and contribute to promoting interoperability of vocabularies.

This research explores the relationship between linked data and vocabularies, highlighting the diverse manifestations and challenges of vocabularies in linked data. It provides theoretical references for the construction and further development of vocabularies considering technologies such as linked data, drawing attention to the potential and existing issues associated with linked open data vocabularies.

This study extends the application of content analysis to exploring vocabularies, especially Knowledge Organization Systems and metadata schemes in the LIS field linked data, highlighting the mutually beneficial interactions between linked data and vocabularies. It provides guidance for future vocabularies applications in the LIS field and offers insights into vocabularies construction and the healthy development of linked data ecosystems in the era of information technology.

Scientific knowledge is rich with literature on the antecedent role of social capital on resilience. However, empirical evidence has overlooked the role of the individual dimensions of bonding and bridging social capital on its outcomes. This study aims to extend empirical research on the influence of social capital facets of bonding social capital and bridging social capital on financial resilience and more specifically in the aftermath of the COVID-19 pandemic where women SMEs mostly need bonding.

The study uses an explanatory research design to determine the hypothesized effect of social capital on financial resilience. The authors used regression to test the hypothesized relationship using a sample of three hundred and eight four women-owned SMEs in Kampala registered with Kampala City Traders Association.

According to the findings, the social bonding provides female entrepreneurs with emotive encouragement and inspiration through personal connections and responsibility sharing. Furthermore, women entrepreneurs bridging, which consisted of business networks, made it easier for them to identify new financial opportunities, which ultimately led to an increase in their financial resilience. The findings placed an emphasis on the significance of fellow business owners as sources of knowledge and assets that are crucial to maintaining one's financial resilience.

Data were collected from women owned SMEs, and the application of the findings may be limited to women SMEs in Kampala District. Therefore, future research should replicate the current study findings using a sample drawn from other SMEs owned by both male and female from outside Kampala because of changes in operating environment. The study was cross-sectional, and financial resilience of a firm changes was periodical. This study paves the way for future longitudinal research in the same topic area, which will allow for a more complete comprehension of the financial resiliency of SMEs throughout a range of different time periods.

Research findings shape trajectory for current practitioners of SMEs to establish relevant social bonding and bridging as social capital in preparation for financial resilience in case of any pandemic.

To the best of the authors' knowledge, this study is the first to establish the antecedent role of social capital on financial resilience during an economic crisis induced by the COVID-19 pandemic, using a sample of women-owned medium- and small-sized businesses in Kampala.

The evolving dynamics of the labour market make graduates’ future employability an important issue for higher education (HE) institutions, prompting universities to complement the conventional graduate skills approach with a wider focus on graduate forms of capital that may enhance their sense of employability. This study, adopting a capital perspective, explores whether and how teachers in HE, when acknowledged as knowledgeable trustworthy actors, may affect graduates’ employability. It investigates how they can mobilise undergraduate cultural capital through socialisation, and shape their pre-professional identity, paving the way for university-to-work transition.

To test the hypothesised model, a self-report online questionnaire was administered to a sample of 616 undergraduates attending different Italian universities. Multiple mediating models were tested using the SEM framework.

Results supported the tested model and showed that trust in knowledgeable HE teachers was associated with undergraduates’ perceived employability both directly and through both mediators (i.e. academic socialisation and identification with future professionality).

This research explores a capital conceptualisation of graduate employability, identifying possible processes for implementing graduates’ capital across their academic experience and providing initial evidence of their interplay and contribution to transition into the labour market.

These findings provide empirical support to possible forms of capital that HE institutions may fulfil to enhance their undergraduate employability throughout their academic career, which serves as a liminal space allowing undergraduates to begin building a tentative professional identity.

The objective of this research is to methodically categorize the various types of Open Government Data (OGD) stakeholders, and to elucidate the intricate network relationships among OGD stakeholders, along with the underlying mechanisms that shape their formation.

To comprehend the collaboration mechanism of stakeholders in the OGD ecosystem, the authors constructed an OGD multi-stakeholder relationship network by using data from the Shandong Province Data Application Innovation and Entrepreneurship Competition. Based on the structural social capital theory and exponential random graph model (ERGM), an analytical framework was established to explore the formation mechanism of the collaborative network of OGD multi-stakeholder.

The results indicate that multi-stakeholder collaboration among government, enterprises and the public is crucial for achieving OGD goals. Organizing OGD competitions serves as an effective mechanism for solidifying and maintaining relationships among OGD stakeholder groups. Degree centrality and structural parameters reveal a Matthew effect within the connection process of the OGD ecosystem's collaborative network. Additionally, there is evidence of agglomeration and transferability within the network's structure.

This study contributes to the understanding regarding the formation mechanism of OGD stakeholders. The findings have implications for developing multi-stakeholder relationship networks of OGD and driving OGD initiatives.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2023-0284

How does the interplay between entrepreneurship policies and both formal and informal gender equality affect women’s inclination towards self-employment in contrast to men?

This study introduces and validates a comprehensive multi-level model underpinned by symbolic interactionism, institutional theory, and the nuances of gendered institutions. Employing innovative analytical techniques and leveraging data from 66 countries, we scrutinize how formal and informal gendered institutional arrangements either inhibit or facilitate an environment favorable to women’s entrepreneurial activities.

Significantly, our research delves into the nuanced effects of specific entrepreneurship policies across diverse nations. While these policies can bridge the gendered resource gap, a profound understanding of broader gender dynamics is crucial for fostering an inclusive entrepreneurial landscape.

Our insights advocate for a more integrated approach to bolster women’s participation in entrepreneurship, thus furthering their socio-economic progression.

Co-creating with value network partners (VNPs) in the tourism industry has become essential for delivering improved service quality and enhancing consumer experience. This research examines the impact of value co-creation on the satisfaction of VNPs. Further, the study examines the moderating effects of socio-demographic factors on the relation between co-creation and VNP satisfaction.

The study collected data from VNPs engaged in tourism-related activities (N = 392). It analysed the data through structural equation modelling using SPSS 20 and AMOS 21. The study used the stimulus-organism-response framework to understand VNP's perceptions regarding co-creation.

The results indicate a significant relationship between the value processes and networks, service offerings, conversations and dialogues and value proposition in relation to co-creation. Additionally, the study identifies the significance of age, education level, job experience and job nature. The findings of the study can enable tourism managers to formulate effective co-creation strategies.

The insights from the study enable tourism managers to devise co-creation strategies that nurture collaboration with VNPs. Managers can gain insights into the antecedents of the co-creation and the role of demographic factors in shaping strategies.

The study's findings have the potential to shape co-creation policies in the tourism and hospitality industry. Network partners and tourism companies can leverage insights from the study to develop and refine their co-creation policies. By bridging the gaps in the existing literature on value co-creation with network partners, the study contributes significantly to tourism and hospitality literature.

Circular economy firms, unlike those in a linear economy, encounter significant challenges due to the nature of nonstandardized products, such as asymmetric information on product specifications and highly dispersed supply and demand. Consequently, achieving large-scale operations becomes inherently difficult for them. However, when digital platform-based circular firms adopt diversified business models, their value creation has the potential to achieve significant scale. This study aims to answer “How do digital platform-based circular firms scale up value creation through business model diversification?”.

The authors use a qualitative case study design with a longitudinal (2011–2023) analysis of the various business models developed by ATRenew, a leading firm in the Chinese preowned electronics industry.

The authors find that the recycling business model can act as a “cornerstone” business model for a circular firm to integrate the business model portfolio by leveraging the most synergies (or complementarities) with other business models. Besides, digital platform-based circular firms can effectively scale up value creation by leveraging capability complementary on the supply side, through establishing industrial infrastructure shared with the platform ecosystem; and by leveraging customer complementary on the demand side, through activating the dual role played by platform users as suppliers and consumers.

The authors contribute to the circular business models literature with three mechanisms to scale up circular value creation through business model diversification and advance a set of propositions to be tested in future research. This also has important practical implications for circular economy platform businesses.

Drawing upon the extended resource-based view (ERBV), this research aims to examine the effects of supply chain diversification (SCD) on enterprise digital transformation (DT), focusing on the external perspective of the supply chain.

Leveraging panel data from Chinese A-share listed companies from 2015 to 2022, this research employs multiple regression analysis to empirically examine the relationship between SCD and enterprise DT.

The results of analysis indicate that: (1) SCD positively influences enterprise DT, a relationship that persists even after rigorous endogenous and serial robustness testing. (2) SCD fosters enterprise DT by bolstering its absorption, innovation, and adaptive capabilities. (3) Executive risk preferences and Pilot Policies positively mediate the effects of SCD on enterprise DT.

This research provides novel empirical insights into the underlying mechanism linking SCD and enterprise DT. The findings offer valuable guidance for enterprises seeking to optimize supply chain management and embrace DT, while also informing policymakers on strategies to facilitate SCD and DT enhancement among enterprises.

The interest of scholars to study microfoundations of dynamic capability has increased. Literatures associated with them are rapidly and diversely developing. This study aims to investigate whether both boundary spanning activities and resource orchestration are the microfoundations of dynamic capability.

A systematic literature review using preferred reporting items for systematic reviews and meta-analyses (PRISMA) guideline is applied to extract 263 studies from Scopus and 12 studies from other online sources. Some studies investigate some of the relationships but only one investigates all relationships examined.

Further discussion suggests that boundary spanning activities and resource orchestration are microfoundations of dynamic capability. The first and second groups of boundary spanning activities (scout and ambassador) and the first stage of resource orchestration (structuring/search/selection) are microfoundations of sensing/shaping. Third group, task coordinator, with some elements of the second stage, leveraging and all elements of third stage, bundling, are microfoundations of seizing. Meanwhile, some other elements of second stage, leveraging, are microfoundations of reconfiguring. Guard, the fourth group of boundary spanning activities, is excluded from microfoundations of dynamic capability because of its nature of internal activities to keep things from the environment.

This study is an original review of literatures about both boundary spanning activities and resource orchestration as microfoundations of dynamic capability. The paper starts with a systematic literature review on four relationships examined and ends up with deep further analysis on the elements of activities groups of boundary spanning, stages of resource orchestration and process groups of dynamic capability.